Connect Sanity and Diffbot to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Sanity
Choose an Action
Automatically do this!
Enhance
Enable Integrations or automations with these events of Sanity and Diffbot
Enable Integrations or automations with these events of Sanity and Diffbot
Actions
Create project
Create a new project with a display name and optional organization ID
Update Project
Modify an existing Sanity project's name, settings, or metadata.
Delete Project
Delete a specific project.
Update Role
Update the details of specific role.
Delete Role
Delete a specific role by its id.
Enhance
Enrich a organization record with partial data input (POST option).
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Frequently Asked Questions
To start, connect both your Sanity and Diffbot accounts to viaSocket. Once connected, you can set up a workflow where an event in Sanity triggers actions in Diffbot (or vice versa).
Absolutely. You can customize how Sanity data is recorded in Diffbot. This includes choosing which data fields go into which fields of Diffbot, setting up custom formats, and filtering out unwanted information.
The data sync between Sanity and Diffbot typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Sanity and Diffbot. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Sanity
Sanity is a platform for structured content that allows teams to build and manage digital experiences with ease. It provides a flexible and customizable content management system (CMS) that adapts to your needs, enabling seamless collaboration and efficient content delivery.
Learn MoreAbout Diffbot
Diffbot is a powerful AI-driven data extraction and analysis platform that automates the process of gathering and structuring web data. It uses machine learning and computer vision to transform web pages into structured data, making it easier for businesses to access and utilize information from the web.
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